Triple
T7793324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown Prince of Japan |
E180234
|
entity |
| Predicate | officeVacantWhen |
P79057
|
FINISHED |
| Object | holder ascends the throne as Emperor of Japan |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: holder ascends the throne as Emperor of Japan | Statement: [Crown Prince of Japan, officeVacantWhen, holder ascends the throne as Emperor of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeVacantWhen Context triple: [Crown Prince of Japan, officeVacantWhen, holder ascends the throne as Emperor of Japan]
-
A.
officeMayBeVacant
Indicates that an office has the possibility of being unoccupied or without an active occupant.
-
B.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
-
C.
fieldOfficePresence
Indicates that an entity maintains a physical field office or on-the-ground operational presence in a particular location or jurisdiction.
-
D.
officeSoughtIn
Indicates that an entity is seeking, running for, or otherwise pursuing a particular office or position within a specified jurisdiction or context.
-
E.
inOfficeDuring
Indicates that an entity holds or occupies an office or position throughout a specified time period.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:31 p.m.